Let’s Look at LLMs: Understanding Data Flows and Risks in the Workplace

Let’s Look at LLMs: Understanding Data Flows and Risks in the Workplace
Over the last few months, we have seen generative AI systems and Large Language Models (LLMs), like OpenAI’s ChatGPT, Google Bard, Stable Diffusion, and Dall-E, send shockwaves throughout society. Companies are racing to bake AI features into existing products and roll out new services. Many Americans are worrying whether generative AI and LLMs are going to replace them in the workforce, and teachers are downloading ChatGPT specific software to ensure their students are not plagiarizing homework assignments. Some have called for a pause to AI development. But organizations and individuals are adopting LLMs more quickly, and the trend shows no signs of abating.Organizations have quickly seen employees using generative AI and LLM tools in their workstreams. Few workers are waiting for permission to use the technologies to speed up complex tasks, get tailored answers to full-sentence questions, or draft content like marketing emails. However, the growing use of LLMs creates risks, such as

https://fpf.org/blog/lets-look-at-llms-understanding-data-flows-and-risks-in-the-workplace/